Triple
T21590598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imrān |
E532767
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object | Imran |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Imran | Statement: [Imrān, hasTransliteration, Imran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imran Context triple: [Imrān, hasTransliteration, Imran]
-
A.
Imran
chosen
Imran is a figure mentioned in the Quran, notably associated with the family lineage of Mary (Maryam) and Jesus (Isa), and honored as a righteous servant of God.
-
B.
Imran
Imran is the given name of Mohammad Imran Tahir, a South African international cricketer known for his leg-spin bowling.
-
C.
Imran Farooq
Imran Farooq was a prominent Pakistani politician and founding member of the Muttahida Qaumi Movement who played a key role in its early organizational and ideological development.
-
D.
Imran Mahmood
Imran Mahmood is a British criminal barrister and crime novelist known for his psychologically driven legal thrillers such as "You Don't Know Me."
-
E.
Imran Ahmad Khan
Imran Ahmad Khan is a British former Conservative Party politician who served as Member of Parliament for Wakefield before resigning following his conviction for sexual assault.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadd0ec88190929c76137bd1603e |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.